Structural causal economics python par thatch oliver (4 résultats)
Langue : anglais
Edité par Independently Published, 2026
Série : Livre 3 sur 16 - Quantitative Economics & Python Series
- Couverture souple
Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US
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EUR 41,45
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Independently Published, 2026
Série : Livre 3 sur 16 - Quantitative Economics & Python Series
- Couverture souple
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 37,53
EUR 5,86 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue : anglais
Edité par Independently Published Feb 2026, 2026
Série : Livre 3 sur 16 - Quantitative Economics & Python Series
- Couverture souple
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 54,00
EUR 63,18 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponible(s)
Taschenbuch. Etat : Neu. Neuware - Reactive PublishingEconomic systems are shaped by complex cause-and-effect relationships that traditional correlation-based models often fail to capture. Structural Causal Economics with Python introduces a rigorous, modern framework for understanding economic mechanisms using structural causal… models, graph-based reasoning, and counterfactual simulation.This book bridges the gap between academic causal inference theory and real-world economic modeling. Readers learn how to move beyond prediction into explanation, policy testing, and scenario design using practical Python implementations. The focus is on building models that reflect how economic systems actually behave under intervention, shock, and policy change.Inside, you will learn how to: - Build and interpret causal graphs for economic systems- Design structural models that capture real economic mechanisms- Perform counterfactual analysis to evaluate alternative policy scenarios- Simulate policy interventions and measure downstream effects- Implement causal modeling workflows using modern Python tools- Connect causal inference methods to macroeconomic and microeconomic applicationsRather than treating economic data as purely statistical signals, this book teaches you how to model the underlying structure that generates economic outcomes. The result is more robust forecasting, clearer policy insight, and deeper strategic understanding.Written for quantitative economists, policy analysts, data scientists, and advanced finance professionals, this book assumes familiarity with Python and core economic concepts. It is designed as both a practical implementation guide and a conceptual reference for structural causal economic modeling.If you want economics models that explain why outcomes happen, not just what happens next, this book provides the tools and framework to build them.
Langue : anglais
Edité par Independently published, 2026
Série : Livre 3 sur 16 - Quantitative Economics & Python Series
- Couverture souple
- impression à la demande
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
Contacter le vendeurVendeur avec une évaluation de 4 étoilesEtat: Neuf
EUR 37,02
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Etat : New. Print on Demand.
